The MNLP M3 MCQA Dataset is a carefully curated collection of Multiple-Choice Question Answering (MCQA) examples, unified from several academic and benchmark datasets.
Developed as part of the CS-552: Modern NLP course at EPFL (Spring 2025), this dataset is designed for training and evaluating models on multiple-choice QA tasks, particularly in the STEM and general knowledge domains.
~30,000 MCQA questions
6 diverse sources: SciQ… See the full description on the dataset page:
https://huggingface.co/datasets/youssefbelghmi/MNLP_M3_mcqa_dataset_2.
